From a stranger to a friend: Trust-based community building in social internet of things - A fuzzy driven approach.

Humans are characterized by their ability to interact, cooperate, and live as a society. Trust is an essential part of relationships between humans. The Social Internet of Things (SIoT) is a recently evolved paradigm that mimics human social relationships over a group of IoT devices (things). It is advantageous for things to come together as a cluster, enabling resource sharing, scalability, and improved efficiency. For a group of IoT devices to function coherently, trustworthiness management amid things in SIoT is crucial. Estimating a thing's trustworthiness is vital before initiating a friendship with it. Trustworthiness estimation acts as a gatekeeper for malicious nodes which intend to harm a network of devices. This paper briefly presents our ongoing work to create a system where a device can slowly be absorbed into a community based on how much trust it earns from the community members over time. Our work has been inspired by actual human relationships where friends or members of the same community are trusted implicitly. In contrast, strangers lack credibility and must gain the community's trust to be eventually included and reap its benefits. [ABSTRACT FROM AUTHOR]